7 citations · 12 across the 4 of their papers we have counts for
5 papers
AgroBench: A Reproducible Multimodal Benchmark for Weakly Supervised Crop Yield Learning from County Statistics and Pixel Observations
Udaiveer Singh, Rajiv Ranjan, Shashank Tamaskar +1
Reliable agricultural yield statistics are typically reported at coarse administrative scales, whereas modern geospatial machine learning methods require spatially explicit, pixel…
SPEAR NeXT Causal Latent Forecasting Across Multiple Horizons for Spectral Temporal Earth Representation Learning
Rajiv Ranjan, Udaiveer Singh, Shashank Tamaskar +1
Earth observation is inherently dynamic, yet temporal information in many foundation models is learned through reconstruction, invariance, or retrospective sequence summarization.…
Analyzing trends for agricultural decision support system using twitter data
Sneha Jha, Dharmendra Saraswat, Mark D. Ward
The trends and reactions of the general public towards global events can be analyzed using data from social platforms, including Twitter. The number of tweets has been reported to…
4Weed Dataset: Annotated Imagery Weeds Dataset
Varun Aggarwal, Aanis Ahmad, Aaron Etienne +1
Weeds are a major threat to crops and are responsible for reducing crop yield worldwide. To mitigate their negative effect, it is advantageous to accurately identify them early in…
CD&S Dataset: Handheld Imagery Dataset Acquired Under Field Conditions for Corn Disease Identification and Severity Estimation
Aanis Ahmad, Dharmendra Saraswat, Aly El Gamal +1
Accurate disease identification and its severity estimation is an important consideration for disease management. Deep learning-based solutions for disease management using imagery…